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This commit is contained in:
Stephen Smoogen 2016-05-05 21:24:28 +00:00
parent 96c95fe7e3
commit 516f98376d
3 changed files with 137 additions and 363 deletions
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57
roles/web-data-analysis/files/mirror-moving_avg.py
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@ -37,34 +37,39 @@ fed21 = pandas.rolling_mean(df['24-f21'], rolling)
fed22 = pandas.rolling_mean(df['25-f22'], rolling)
fed23 = pandas.rolling_mean(df['26-f23'], rolling)
fed24 = pandas.rolling_mean(df['27-f24'], rolling)
rawhide = pandas.rolling_mean(df['28-rawhide'], rolling)
unk_rel = pandas.rolling_mean(df['29-unk_rel'], rolling)
EPEL = pandas.rolling_mean(df['30-epel'], rolling)
Fedora = pandas.rolling_mean(df['31-fedora'], rolling)
alpha = pandas.rolling_mean(df['32-alpha'], rolling)
ARM = pandas.rolling_mean(df['33-arm'], rolling)
ARM64 = pandas.rolling_mean(df['34-arm64'], rolling)
ia64 = pandas.rolling_mean(df['35-ia64'], rolling)
mips = pandas.rolling_mean(df['36-mips'], rolling)
ppc = pandas.rolling_mean(df['37-ppc'], rolling)
s390 = pandas.rolling_mean(df['38-s390'], rolling)
sparc = pandas.rolling_mean(df['39-sparc'], rolling)
tilegx = pandas.rolling_mean(df['40-tilegx'], rolling)
x86_32 = pandas.rolling_mean(df['41-x86_32'], rolling)
x86_64 = pandas.rolling_mean(df['42-x86_64'], rolling)
x86_32_e = pandas.rolling_mean(df['43-x86_32_e'], rolling)
x86_32_f = pandas.rolling_mean(df['44-x86_32_f'], rolling)
x86_64_e = pandas.rolling_mean(df['45-x86_64_e'], rolling)
x86_64_f = pandas.rolling_mean(df['46-x86_64_f'], rolling)
ppc_e = pandas.rolling_mean(df['47-ppc_e'], rolling)
ppc_f = pandas.rolling_mean(df['48-ppc_f'], rolling)
unk_arc = pandas.rolling_mean(df['49-unk_arc'], rolling)
centos = pandas.rolling_mean(df['50-centos'], rolling)
rhel = pandas.rolling_mean(df['51-rhel'], rolling)
fed25 = pandas.rolling_mean(df['28-f25'], rolling)
fed26 = pandas.rolling_mean(df['29-f26'], rolling)
fed27 = pandas.rolling_mean(df['30-f27'], rolling)
fed28 = pandas.rolling_mean(df['31-f28'], rolling)
fed29 = pandas.rolling_mean(df['32-f29'], rolling)
rawhide = pandas.rolling_mean(df['33-rawhide'], rolling)
unk_rel = pandas.rolling_mean(df['34-unk_rel'], rolling)
EPEL = pandas.rolling_mean(df['35-epel'], rolling)
Fedora = pandas.rolling_mean(df['36-fedora'], rolling)
alpha = pandas.rolling_mean(df['37-alpha'], rolling)
ARM = pandas.rolling_mean(df['38-arm'], rolling)
ARM64 = pandas.rolling_mean(df['39-arm64'], rolling)
ia64 = pandas.rolling_mean(df['40-ia64'], rolling)
mips = pandas.rolling_mean(df['41-mips'], rolling)
ppc = pandas.rolling_mean(df['42-ppc'], rolling)
s390 = pandas.rolling_mean(df['43-s390'], rolling)
sparc = pandas.rolling_mean(df['44-sparc'], rolling)
tilegx = pandas.rolling_mean(df['45-tilegx'], rolling)
x86_32 = pandas.rolling_mean(df['46-x86_32'], rolling)
x86_64 = pandas.rolling_mean(df['47-x86_64'], rolling)
x86_32_e = pandas.rolling_mean(df['48-x86_32_e'], rolling)
x86_32_f = pandas.rolling_mean(df['49-x86_32_f'], rolling)
x86_64_e = pandas.rolling_mean(df['50-x86_64_e'], rolling)
x86_64_f = pandas.rolling_mean(df['51-x86_64_f'], rolling)
ppc_e = pandas.rolling_mean(df['52-ppc_e'], rolling)
ppc_f = pandas.rolling_mean(df['53-ppc_f'], rolling)
unk_arc = pandas.rolling_mean(df['54-unk_arc'], rolling)
centos = pandas.rolling_mean(df['55-centos'], rolling)
rhel = pandas.rolling_mean(df['56-rhel'], rolling)
for i in xrange(0,len(dates)):
if math.isnan(epel4[i]):
csv_line = ",".join([dates[i],"0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0"])
csv_line = ",".join([dates[i],"0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0","0"])
else:
csv_line = ",".join([dates[i],str(int(epel4[i])),str(int(epel5[i])),str(int(epel6[i])),str(int(epel7[i])),str(int(fed03[i])),str(int(fed04[i])),str(int(fed05[i])),str(int(fed06[i])),str(int(fed07[i])),str(int(fed08[i])),str(int(fed09[i])),str(int(fed10[i])),str(int(fed11[i])),str(int(fed12[i])),str(int(fed13[i])),str(int(fed14[i])),str(int(fed15[i])),str(int(fed16[i])),str(int(fed17[i])),str(int(fed18[i])),str(int(fed19[i])),str(int(fed20[i])),str(int(fed21[i])),str(int(fed22[i])),str(int(fed23[i])),str(int(fed24[i])),str(int(rawhide[i])),str(int(unk_rel[i])),str(int(EPEL[i])),str(int(Fedora[i])),str(int(alpha[i])),str(int(ARM[i])),str(int(ARM64[i])),str(int(ia64[i])),str(int(mips[i])),str(int(ppc[i])),str(int(s390[i])),str(int(sparc[i])),str(int(tilegx[i])),str(int(x86_32[i])),str(int(x86_64[i])), str(int(x86_32_e[i])),str(int(x86_32_f[i])),str(int(x86_64_e[i])),str(int(x86_64_f[i])),str(int(ppc_e[i])),str(int(ppc_f[i])), str(int(unk_arc[i])),str(int(centos[i])),str(int(rhel[i]))])
csv_line = ",".join([dates[i],str(int(epel4[i])),str(int(epel5[i])),str(int(epel6[i])),str(int(epel7[i])),str(int(fed03[i])),str(int(fed04[i])),str(int(fed05[i])),str(int(fed06[i])),str(int(fed07[i])),str(int(fed08[i])),str(int(fed09[i])),str(int(fed10[i])),str(int(fed11[i])),str(int(fed12[i])),str(int(fed13[i])),str(int(fed14[i])),str(int(fed15[i])),str(int(fed16[i])),str(int(fed17[i])),str(int(fed18[i])),str(int(fed19[i])),str(int(fed20[i])),str(int(fed21[i])),str(int(fed22[i])),str(int(fed23[i])),str(int(fed24[i])),str(int(fed25[i])),str(int(fed26[i])),str(int(fed27[i])),str(int(fed28[i])),str(int(fed29[i])),str(int(rawhide[i])),str(int(unk_rel[i])),str(int(EPEL[i])),str(int(Fedora[i])),str(int(alpha[i])),str(int(ARM[i])),str(int(ARM64[i])),str(int(ia64[i])),str(int(mips[i])),str(int(ppc[i])),str(int(s390[i])),str(int(sparc[i])),str(int(tilegx[i])),str(int(x86_32[i])),str(int(x86_64[i])), str(int(x86_32_e[i])),str(int(x86_32_f[i])),str(int(x86_64_e[i])),str(int(x86_64_f[i])),str(int(ppc_e[i])),str(int(ppc_f[i])), str(int(unk_arc[i])),str(int(centos[i])),str(int(rhel[i]))])
print csv_line